How Control Theory can Contribute to Stock Trading Research

B. Ross Barmish

About the Event

: In this talk, I will describe some open problems in the world of stock trading which are ideally suited for researchers who are well versed in control theory. These problems fall under the umbrella of “technical analysis” and involve using feedback control algorithms for buying and selling stock in a so-called model-free context. That is, a model for the stock price is neither assumed nor identified. To date, in the finance literature, the case for “efficacy” of such stock-treading strategies is based on statistics and empirical back-testing using historical data. In our new framework, instead of drawing conclusions based on statistical evidence from the past, our control-theoretic point of view leads to robust certification theorems describing various aspects of performance. To illustrate how such a formal theory can be developed, I will concentrate on linear feedback and how it relates to trend following, one of the most well-known technical analysis strategies in use. Finally, it should be noted that the main point of this talk is not to demonstrate that control-theoretic considerations lead to new “market beating” algorithms. It is to argue that strategies which have heretofore been analyzed via statistical processing of empirical data can actually be studied in a formal theoretical framework.

Biography

B. Ross Barmish received the Bachelor's degree in Electrical Engineering from McGill University in 1971. In 1972 and 1975 respectively, he received the M.S. and Ph.D. degrees, both in Electrical Engineering, from Cornell University. From 1975 to 1978, he served as Assistant Professor of Engineering and Applied Science at Yale University. From 1978 to 1984, he was as an Associate Professor of Electrical Engineering at the University of Rochester and in 1984, he joined the University of Wisconsin, Madison, where he is currently Professor of Electrical and Computer Engineering. From 2001 to 2003, he was with the Department of Electrical Engineering and Computer Science at Case Western Reserve University, where he served as Department Chair while holding the endowed Nord Professorship.
Over the years, he has been involved in a number of IEEE Control Systems Society activities such as associate editorships, conference chairmanships, the Board of Governors and prize paper committees. He has also served as a consultant for a number of companies and is the author of the textbook New Tools for Robustness of Linear Systems, Macmillan, 1994. While his earlier work concentrated on robustness of dynamical systems, his current research concentrates on building a bridge between feedback control theory and trading in complex financial markets.
Professor Barmish is a Fellow of both the IEEE and IFAC for his contributions to the theory of robustness of dynamical systems. He received the Best Paper Award for Journal Publication in Automatica, covering a three-year period, on two consecutive occasions from the International Federation of Automatic Control. He has also given a number of plenary lectures at major conferences. In December 2012, Professor Barmish was named by the IEEE Control Systems Society as the winner of the 2013 Bode Prize. In conjunction with this field award, he will provide a keynote plenary at the 2013 IEEE Conference on Decision and Control, to be held in Florence, Italy.